Evidence map›Paper›PMID 42757239›Full record

ArticleTobacco induced diseases2026

Smoking cessation, weight change, and incidence and progression of frailty: A longitudinal analysis of the US Health and Retirement Study.

Yixiao Liang, Ao Li, Lingtong Ren, Hu Ai

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In one paragraph

Article in Tobacco induced diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yixiao Liang *Department of Cardiology, Beijing Hospital, National Center for Gerontology, National Clinical Research Center for Gerontology, The Key Laboratory of Geriatrics of NHC, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Ao Li *Department of Respiratory and Critical Care Medicine, Beijing Hospital, National Center for Gerontology, National Clinical Research Center for Gerontology, The Key Laboratory of Geriatrics of NHC, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Lingtong Ren *Department of Cardiology, Beijing Hospital, National Center for Gerontology, National Clinical Research Center for Gerontology, The Key Laboratory of Geriatrics of NHC, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Hu AiDepartment of Cardiology, Beijing Hospital, National Center for Gerontology, National Clinical Research Center for Gerontology, The Key Laboratory of Geriatrics of NHC, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSmoking cessation is important for healthy ageing, but accompanying weight change may influence subsequent functional vulnerability. We examined whether attained cessation duration and weight change across the observed cessation interval distinguished later frailty risk and frailty-index progression.

methodsThis longitudinal secondary analysis included 27020 Health and Retirement Study participants with self-reported smoking and body-weight data, and valid consecutive frailty assessments who were non-frail at risk-set entry during 1998-2020. Smoking status, body weight, and covariates were assessed biennially by structured interviews. Time-varying Cox models estimated incident frailty (frailty index ≥0.25), mixed-effects models assessed annual frailty-index change, and restricted cubic splines evaluated continuous associations.

resultsOver a median follow-up of 8.1 years, 10641 incident frailty cases occurred during 250439.9 person-years. Compared with current smokers, quitters before baseline had lower frailty risk (hazard ratio, HR=0.79; 95% CI: 0.75-0.84), whereas follow-up quitters overall did not (HR=0.98; 95% CI: 0.90-1.07). In the duration spline, HRs at 0, 7, and 10 years of attained cessation duration were 1.14 (95% CI: 1.01-1.28), 0.79 (95% CI: 0.67-0.93), and 0.73 (95% CI: 0.60-0.89), respectively. Among follow-up quitters, >10.0 kg versus 0.1-5.0 kg weight gain was associated with higher risk (HR=1.94; 95% CI: 1.44-2.61); standardized 2-year risks among eligible analytic intervals were 15.9% and 9.5%, respectively. The direct progression contrast was imprecise in Model 3 and was estimated at β=0.415 (95% CI: 0.040-0.790; p=0.030) after additional adjustment for interval-start frailty index.

conclusionsLonger cessation duration was associated with lower frailty risk. Substantial weight gain across the observed cessation interval was associated with higher absolute frailty risk among follow-up quitters. Smoking cessation remains the priority, but marked gain may help identify quitters who warrant continued weight and functional monitoring.

Indexed as

agingfrailtyHealth and Retirement Studysmoking cessationweight change

Identifiers

PMID42757239
PMCPMC13584919

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.